Manager, Software Engineering - Dynamo at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, Artificial IntelligenceIndustries

Requirements

Masters or PhD or equivalent experience in Computer Science, computer architecture, or related field
10+ years of overall experience in developing large distributed systems
2+ years of experience managing AI and SW development teams
Experience in developing and maintaining LLM or GenAI infrastructure
Excellent communication, collaboration and problem-solving skills, with a dedication to encouraging an inclusive and diverse workplace
Hands-on experience developing large-scale distributed systems
Ways to stand out (preferred)
Strong technical background in cloud/distributed systems
Experience working in a globally distributed organization
Good knowledge of CPU and/or GPU hardware architecture
Background in developing LLM inference systems
Experience with LLM frameworks like vLLM & TRT-LLM

Responsibilities

Mentor, grow, and develop the Dynamo engineering team
Be responsible for planning and execution of projects and workflows
Work across several teams and orgs to build platforms that use the latest developments in LLM inferencing
Collaborate with research and development teams and serve a large user base (software teams both internal and external to NVIDIA)
Align priorities across collaborators and define metrics for measuring the success of the product/team
Stay updated with the latest trends in AI, ML, and infrastructure, proactively seeking opportunities to integrate advancements into NVIDIA's LLM and AI infrastructure solutions

Skills

Distributed Systems

LLM Inference

Generative AI

Fault-Tolerant Systems

Multi-GPU

Multi-Node Pipelines

Cloud Infrastructure

AI Infrastructure

ML Infrastructure

Software Development

Team Management

NVIDIA

Designs GPUs and AI computing solutions

About NVIDIA

NVIDIA designs and manufactures graphics processing units (GPUs) and system on a chip units (SoCs) for various markets, including gaming, professional visualization, data centers, and automotive. Their products include GPUs tailored for gaming and professional use, as well as platforms for artificial intelligence (AI) and high-performance computing (HPC) that cater to developers, data scientists, and IT administrators. NVIDIA generates revenue through the sale of hardware, software solutions, and cloud-based services, such as NVIDIA CloudXR and NGC, which enhance experiences in AI, machine learning, and computer vision. What sets NVIDIA apart from competitors is its strong focus on research and development, allowing it to maintain a leadership position in a competitive market. The company's goal is to drive innovation and provide advanced solutions that meet the needs of a diverse clientele, including gamers, researchers, and enterprises.

Santa Clara, CaliforniaHeadquarters

1993Year Founded

$19.5MTotal Funding

IPOCompany Stage

Automotive & Transportation, Enterprise Software, AI & Machine Learning, GamingIndustries

10,001+Employees

Benefits

Company Equity

401(k) Company Match

Risks

Increased competition from AI startups like xAI could challenge NVIDIA's market position.

Serve Robotics' expansion may divert resources from NVIDIA's core GPU and AI businesses.

Integration of VinBrain may pose challenges and distract from NVIDIA's primary operations.

Differentiation

NVIDIA leads in AI and HPC solutions with cutting-edge GPU technology.

The company excels in diverse markets, including gaming, data centers, and autonomous vehicles.

NVIDIA's cloud services, like CloudXR, offer scalable solutions for AI and machine learning.

Upsides

Acquisition of VinBrain enhances NVIDIA's AI capabilities in the healthcare sector.

Investment in Nebius Group boosts NVIDIA's AI infrastructure and cloud platform offerings.

Serve Robotics' expansion, backed by NVIDIA, highlights growth in autonomous delivery services.

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